Answer:
The x-intercept would be 9 and the y-intercept would be -18/5
Step-by-step explanation:
In order to find this we need to first find the slope. To do that we use the two points and the slope equation.
m (slope) = (y2 - y1)/(x2 - x1)
m = (-2 - -6)/(4 - -6)
m = 4/10
m = 2/5
Now that we have the slope, we can use that and either point to find the equation of the line in standard form.
y - y1 = m(x - x1)
y + 6 = 2/5(x + 6)
y + 6 = 2/5x + 12/5
-2/5x + y + 6 = 12/5
-2/5x + y = -18/5
-2x + 5y = -18
Now that we have this, we can find the intercepts through using 0s. First, we put a zero in for y to find the x intercept.
-2x + 5y = -18
-2x + 5(0) = -18
-2x = -18
x = 9
Therefore the x intercept is 9.
We find the y-intercept by doing the opposite. We put a 0 in for x.
-2x + 5y = -18
-2(0) + 5y = -18
5y = -18
y = -18/5
Answer:
3
Step-by-step explanation:
Answer:
A. The explanatory variable is the number of items viewed. This explanatory variable is quantitative.
Step-by-step explanation:
The variable that we can change is called the Explanatory Variable.
The Response variable depends upon the explanatory variable, as we change the value of the explanatory variable the value of the response variable is also get changed.
When the data is in the form of numeric, it is called quantitative.
When the data is not in the numeric form, it is called qualitative.
Here, we have to determine which web page design is better and it depends on the number of the item viewed by a visitor to that site.
Thus, the Explanatory variable is the "number of items viewed".
and the number of items viewed is numeric data, so it is quantitative.
Hence, option (A) is correct.
Answer:
t distribution behaves like standard normal distribution as the number of freedom increases.
Step-by-step explanation:
The question is missing. I will give a general information on t distribution.
t-distribution is used instead of normal distribution when the <em>sample size is small (usually smaller than 30) </em>or <em>population standard deviation is unknown</em>.
Degrees of freedom is the number of values in a sample that are free to vary. As the number of degrees of freedom for a t-distribution increases, the distribution looks more like normal distribution and follows the same characteristics.
Answer:
90%
Step-by-step explanation:
divide - 27/30
